Identification of metabolism-related subtypes and feature genes of pre-eclampsia.

ABSTRACT: The heterogeneity of pre-eclampsia (PE) complicates its pathogenesis, which remains incompletely understood. Emerging evidence indicates a significant role of metabolism in the pathophysiology of PE. We procured the PE dataset from the Gene Expression Omnibus database and sourced a published compilation of metabolism-related genes, then employed consensus clustering to classify PE subtypes. Subsequently, we examined the relationships of these subtypes with metabolic features and immune infiltration. Feature genes were identified using weighted gene co-expression network analysis (WGCNA) and further scrutinized through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. To refine the selection of feature genes, we applied two machine learning algorithms. A

SUBMITTER: Xiong Z 

PROVIDER: S-EPMC11811273 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature